Acquiring innovation knowledge

Peter Busch*, Deborah Richards

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

There are few possibilities for acquiring knowledge related to innovation. Firstly, acquiring knowledge using machine learning typically requires structured and classified data and/or cases, and lots of them. Secondly, manual acquisition of knowledge requires human expertise. Both approaches seem impractical when it comes to innovation knowledge. While innovation is recognized as a vital part of sustainability within organizations, there is little assistance with how we can acquire, reuse or share the innovation knowledge that may exist. We suggest a technique and present preliminary results of an evaluation study using this approach.

Original languageEnglish
Title of host publicationAdvances in Knowledge Acquisition and Management
Subtitle of host publicationPacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers
EditorsAchim Hoffmann, Byeong-ho Kang, Debbie Richards, S Tsumoto
Place of PublicationBerlin, Germany
PublisherSpringer, Springer Nature
Pages252-257
Number of pages6
Volume4303 LNAI
ISBN (Print)9783540689553
Publication statusPublished - 2006
EventPacific Rim Knowledge Acquisition Workshop - Guilin
Duration: 7 Aug 20068 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4303 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePacific Rim Knowledge Acquisition Workshop
CityGuilin
Period7/08/068/08/06

Keywords

  • innovation knowledge
  • knowledge acquisition

Cite this

Busch, P., & Richards, D. (2006). Acquiring innovation knowledge. In A. Hoffmann, B. Kang, D. Richards, & S. Tsumoto (Eds.), Advances in Knowledge Acquisition and Management : Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers (Vol. 4303 LNAI, pp. 252-257). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4303 LNAI). Berlin, Germany: Springer, Springer Nature.